Twitter stance detection using deep learning model with FastText Embedding-Reference-Cited by-同舟云学术

Twitter stance detection using deep learning model with FastText Embedding

Published:2023-03-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning
language:
Short-container-title:

Author:

Deng Yongqing¹^ORCID,Huang Yongzhong¹^ORCID

Affiliation:

1. School of Computer and Information Security, Guilin University of Electronic Technology, China

Funder

the National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3590003.3590102

Reference22 articles.

1. Stance detection on social media: State of the art and trends

2. A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments

3. Kawintiranon K , Singh L. Knowledge enhanced masked language model for stance detection[C]//Proceedings of the 2021 conference of the north american chapter of the association for computational linguistics: human language technologies. 2021 : 4725-4735. Kawintiranon K, Singh L. Knowledge enhanced masked language model for stance detection[C]//Proceedings of the 2021 conference of the north american chapter of the association for computational linguistics: human language technologies. 2021: 4725-4735.

4. Capturing stance dynamics in social media: open challenges and research directions

5. Elfardy H , Diab M. Cu-gwu perspective at semeval-2016 task 6: Ideological stance detection in informal text[C]//Proceedings of the 10th international workshop on semantic evaluation (SemEval-2016). 2016: 434-439 . Elfardy H, Diab M. Cu-gwu perspective at semeval-2016 task 6: Ideological stance detection in informal text[C]//Proceedings of the 10th international workshop on semantic evaluation (SemEval-2016). 2016: 434-439.